Created
March 4, 2016 18:59
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A way to set V4L2 camera params for OpenCV, when cv2.VideoCapture doesn't work. This requires the python-v42lcapture module (https://github.com/gebart/python-v4l2capture)
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#!/usr/bin/env python | |
import numpy as np | |
import cv2 | |
import os | |
import v4l2capture | |
import select | |
if __name__ == '__main__': | |
#cap = cv2.VideoCapture(0) | |
#cap.set(cv2.cv.CV_CAP_PROP_FRAME_WIDTH, 1920) # <-- this doesn't work. OpenCV tries to set VIDIO_S_CROP instead of the frame format | |
#cap.set(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT, 1080) | |
# The following is from: https://github.com/gebart/python-v4l2capture | |
# Open the video device. | |
video = v4l2capture.Video_device("/dev/video0") | |
# Suggest an image size to the device. The device may choose and | |
# return another size if it doesn't support the suggested one. | |
size_x, size_y = video.set_format(1920, 1080, fourcc='MJPG') | |
print "device chose {0}x{1} res".format(size_x, size_y) | |
# Create a buffer to store image data in. This must be done before | |
# calling 'start' if v4l2capture is compiled with libv4l2. Otherwise | |
# raises IOError. | |
video.create_buffers(30) | |
# Send the buffer to the device. Some devices require this to be done | |
# before calling 'start'. | |
video.queue_all_buffers() | |
# Start the device. This lights the LED if it's a camera that has one. | |
print "start capture" | |
video.start() | |
while(True): | |
#We used to do the following, but it doesn't work :( | |
#ret, frame = cap.read() | |
#Instead... | |
# Wait for the device to fill the buffer. | |
select.select((video,), (), ()) | |
# The rest is easy :-) | |
image_data = video.read_and_queue() | |
print "decode" | |
frame = cv2.imdecode(np.frombuffer(image_data, dtype=np.uint8), cv2.cv.CV_LOAD_IMAGE_COLOR) | |
cv2.imshow('frame', frame) | |
key = cv2.waitKey(1) | |
if key & 0xFF == ord('q'): | |
break | |
#cap.release() | |
video.close() | |
cv2.destroyAllWindows() |
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In order to make it working with the last version of OpenCV I changed the row
frame = cv2.imdecode(np.frombuffer(image_data, dtype=np.uint8), cv2.cv.CV_LOAD_IMAGE_COLOR)
to
frame = cv2.imdecode(np.frombuffer(image_data, dtype=np.uint8), cv2.IMREAD_COLOR)